irishdata                package:ade4                R Documentation

_G_e_a_r_y'_s _I_r_i_s_h _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     This data set contains geographical informations about 25 counties
     of Ireland.

_U_s_a_g_e:

     data(irishdata)

_F_o_r_m_a_t:

     'irishdata' is a list of 11 objects.

     _a_r_e_a is a data frame with polygons for each of the 25 contiguous
          counties.

     _c_o_u_n_t_y._n_a_m_e_s is a vector with the names of the 25 counties.

     _x_y is a data frame with the coordinates centers of the 25
          counties.

     _t_a_b is a data frame with 25 rows (counties) and 12 variables.

     _c_o_n_t_o_u_r is a data frame with the global polygon of all the 25
          counties.

     _l_i_n_k is a matrix containing the common length between two counties
          from 'area'.

     _a_r_e_a._u_t_m is a data frame with polygons for each of the 25
          contiguous counties expressed in Universal Transverse
          Mercator (UTM) coordinates.

     _x_y._u_t_m is a data frame with the UTM coordinates centers of the 25
          counties.

     _l_i_n_k._u_t_m is a matrix containing the common length between two
          counties from 'area.utm'.

     _t_a_b._u_t_m is a data frame with the 25 counties (explicitly named)
          and 12 variables.

     _c_o_n_t_o_u_r._u_t_m is a data frame with the global polygon of all the 25
          counties expressed in UTM coordinates.

_S_o_u_r_c_e:

     Geary, R.C. (1954) The contiguity ratio and statistical mapping.
     _The incorporated Statistician_, *5*, 3, 115-145.

     Cliff, A.D. and Ord, J.K. (1973) _Spatial autocorrelation_, Pion,
     London. 1-178.

_E_x_a_m_p_l_e_s:

     data(irishdata)
     par(mfrow = c(2,2))
     area.plot(irishdata$area, lab = irishdata$county.names, clab = 0.75)
     area.plot(irishdata$area)
     apply(irishdata$contour, 1, function(x) segments(x[1],x[2],x[3],x[4], 
         lwd = 3))
     s.corcircle(dudi.pca(irishdata$tab, scan = FALSE)$co)
     score <- dudi.pca(irishdata$tab, scan = FALSE, nf = 1)$li$Axis1
     names(score) <- row.names(irishdata$tab)
     area.plot(irishdata$area, score)
     par(mfrow = c(1,1))

